Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "59"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 59 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 26 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 26 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 59, Node N05:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460009 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 12.550307 0.808750 12.992732 1.392731 7.148273 3.362741 0.550529 4.591636 0.0488 0.6201 0.4922 nan nan
2460008 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 15.167852 0.765378 14.232451 1.558723 6.514058 1.804084 4.347322 2.086780 0.0510 0.6718 0.5308 nan nan
2460007 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.020730 1.015466 10.604294 1.133445 5.765589 1.873778 0.957536 10.922323 0.0507 0.6279 0.5013 nan nan
2459999 RF_maintenance 0.00% 99.92% 85.63% 0.00% - - nan nan nan nan nan nan nan nan 0.0339 0.1717 0.1537 nan nan
2459998 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 9.579450 0.827327 9.521191 1.244041 7.696499 2.659631 1.079998 15.278332 0.0441 0.6266 0.4913 nan nan
2459997 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 168.122793 168.648325 inf inf 3182.673914 3302.930827 10522.251415 11083.149283 nan nan nan nan nan
2459996 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.623039 0.920267 12.644704 1.421078 7.122241 2.862096 0.289868 1.756893 0.0476 0.6462 0.4927 nan nan
2459995 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.647564 0.718764 11.189452 0.516026 7.677029 3.839208 -0.059300 2.356087 0.0539 0.6444 0.4908 nan nan
2459994 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.143145 0.960426 9.654149 0.845270 7.556681 1.897096 -0.166951 2.794987 0.0466 0.6341 0.4885 nan nan
2459993 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 12.329122 1.302479 8.957903 0.736681 9.865274 1.657636 0.405347 6.386837 0.0364 0.6412 0.4698 nan nan
2459991 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 13.213728 1.022748 9.508011 0.774779 8.910888 2.517976 0.004921 1.751585 0.0450 0.6257 0.4891 nan nan
2459990 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.698347 1.034862 9.311774 0.836088 8.851638 1.606514 0.774060 11.693875 0.0485 0.6333 0.4956 nan nan
2459989 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.466034 1.044473 8.284979 0.982311 7.830187 1.795057 1.016538 10.337766 0.0440 0.6320 0.4986 nan nan
2459988 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 12.540942 0.981861 9.598169 0.721895 10.542491 1.053162 0.450771 9.504770 0.0437 0.6268 0.4987 nan nan
2459987 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.613305 0.664340 9.799388 1.284395 6.257127 2.354151 2.353085 6.886320 0.0462 0.6389 0.4982 nan nan
2459986 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 12.965594 0.990387 10.194979 0.653273 9.140619 2.787166 6.011843 2.454289 0.0479 0.6562 0.5105 nan nan
2459985 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 12.151657 0.948604 9.940528 1.162536 7.058226 2.244393 2.070097 4.017172 0.0454 0.6294 0.4972 nan nan
2459984 RF_maintenance 100.00% 97.46% 97.84% 0.00% - - 148.523663 144.524644 inf inf 2678.966306 2557.196103 4895.067604 4822.578202 0.3555 0.3637 0.3302 nan nan
2459983 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.343064 0.482412 9.887372 1.519922 9.074726 1.267602 3.520367 5.047200 0.0473 0.6707 0.5103 nan nan
2459982 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 9.460700 -0.471907 7.988192 1.064889 4.361246 0.982965 2.394043 1.257585 0.0481 0.7064 0.5329 nan nan
2459981 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.337725 0.654932 9.998935 0.951408 10.157227 1.492385 -0.087811 5.441270 0.0481 0.6323 0.4972 nan nan
2459980 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.362639 0.196862 9.472444 1.473755 8.829330 1.373080 5.370140 2.721469 0.0506 0.6841 0.5208 nan nan
2459979 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.537305 0.693859 8.311117 0.902485 8.702979 1.220412 0.119576 4.519364 0.0456 0.6309 0.5020 nan nan
2459978 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.635168 0.687269 9.028381 0.921729 9.127868 1.265624 1.760845 7.457421 0.0413 0.6255 0.4964 nan nan
2459977 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.941744 0.713437 8.875179 0.862875 9.141192 1.928047 1.733383 7.229799 0.0499 0.5977 0.4661 nan nan
2459976 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.094348 0.610704 9.859610 1.537594 9.160633 2.328329 1.758476 6.514338 0.0430 0.6397 0.5010 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 59: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Power 12.992732 12.550307 0.808750 12.992732 1.392731 7.148273 3.362741 0.550529 4.591636

Antenna 59: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 15.167852 0.765378 15.167852 1.558723 14.232451 1.804084 6.514058 2.086780 4.347322

Antenna 59: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 11.020730 11.020730 1.015466 10.604294 1.133445 5.765589 1.873778 0.957536 10.922323

Antenna 59: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 59: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance nn Temporal Discontinuties 15.278332 9.579450 0.827327 9.521191 1.244041 7.696499 2.659631 1.079998 15.278332

Antenna 59: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Power inf 168.122793 168.648325 inf inf 3182.673914 3302.930827 10522.251415 11083.149283

Antenna 59: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Power 12.644704 11.623039 0.920267 12.644704 1.421078 7.122241 2.862096 0.289868 1.756893

Antenna 59: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 11.647564 11.647564 0.718764 11.189452 0.516026 7.677029 3.839208 -0.059300 2.356087

Antenna 59: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 11.143145 11.143145 0.960426 9.654149 0.845270 7.556681 1.897096 -0.166951 2.794987

Antenna 59: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 12.329122 12.329122 1.302479 8.957903 0.736681 9.865274 1.657636 0.405347 6.386837

Antenna 59: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 13.213728 13.213728 1.022748 9.508011 0.774779 8.910888 2.517976 0.004921 1.751585

Antenna 59: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance nn Temporal Discontinuties 11.693875 1.034862 10.698347 0.836088 9.311774 1.606514 8.851638 11.693875 0.774060

Antenna 59: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 10.466034 1.044473 10.466034 0.982311 8.284979 1.795057 7.830187 10.337766 1.016538

Antenna 59: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 12.540942 0.981861 12.540942 0.721895 9.598169 1.053162 10.542491 9.504770 0.450771

Antenna 59: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 10.613305 10.613305 0.664340 9.799388 1.284395 6.257127 2.354151 2.353085 6.886320

Antenna 59: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 12.965594 0.990387 12.965594 0.653273 10.194979 2.787166 9.140619 2.454289 6.011843

Antenna 59: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 12.151657 0.948604 12.151657 1.162536 9.940528 2.244393 7.058226 4.017172 2.070097

Antenna 59: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Power inf 148.523663 144.524644 inf inf 2678.966306 2557.196103 4895.067604 4822.578202

Antenna 59: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 11.343064 11.343064 0.482412 9.887372 1.519922 9.074726 1.267602 3.520367 5.047200

Antenna 59: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 9.460700 9.460700 -0.471907 7.988192 1.064889 4.361246 0.982965 2.394043 1.257585

Antenna 59: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 10.337725 0.654932 10.337725 0.951408 9.998935 1.492385 10.157227 5.441270 -0.087811

Antenna 59: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 10.362639 0.196862 10.362639 1.473755 9.472444 1.373080 8.829330 2.721469 5.370140

Antenna 59: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 10.537305 10.537305 0.693859 8.311117 0.902485 8.702979 1.220412 0.119576 4.519364

Antenna 59: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 10.635168 0.687269 10.635168 0.921729 9.028381 1.265624 9.127868 7.457421 1.760845

Antenna 59: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 10.941744 10.941744 0.713437 8.875179 0.862875 9.141192 1.928047 1.733383 7.229799

Antenna 59: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
59 N05 RF_maintenance ee Shape 11.094348 0.610704 11.094348 1.537594 9.859610 2.328329 9.160633 6.514338 1.758476
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